scholarly journals Machine learning-based rapid diagnosis of human borderline ovarian cancer on second-harmonic generation images

2021 ◽  
Author(s):  
Guangxing Wang ◽  
Yang Sun ◽  
Shuisen Jiang ◽  
Guizhu Wu ◽  
Wenliang Liao ◽  
...  
Keyword(s):  
Machine Learning ◽  
Ovarian Cancer ◽  
Second Harmonic Generation ◽  
Harmonic Generation ◽  
Second Harmonic ◽  
Rapid Diagnosis ◽  
Borderline Ovarian Cancer

scholarly journals Evaluation of Collagen Alterations in Early Precursor Lesions of High Grade Serous Ovarian Cancer by Second Harmonic Generation Microscopy and Mass Spectrometry

Cancers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2794
Author(s):  
Kristal L. Gant ◽  
Alexander N. Jambor ◽  
Zihui Li ◽  
Eric C. Rentchler ◽  
Paul Weisman ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Ovarian Cancer ◽  
Second Harmonic Generation ◽  
Harmonic Generation ◽  
Collagen Fiber ◽  
Second Harmonic ◽  
Mass Spectrometry Analysis ◽  
High Grade ◽  
Serous Ovarian Cancer ◽  
Fiber Morphology

Background: The collagen architecture in high grade serous ovarian cancer (HGSOC) is highly remodeled compared to the normal ovary and the fallopian tubes (FT). We previously used Second Harmonic Generation (SHG) microscopy and machine learning to classify the changes in collagen fiber morphology occurring in serous tubal intraepithelial carcinoma (STIC) lesions that are concurrent with HGSOC. We now extend these studies to examine collagen remodeling in pure p53 signatures, STICs and normal regions in tissues that have no concurrent HGSOC. This is an important distinction as high-grade disease can result in distant collagen changes through a field effect mechanism. Methods: We trained a linear discriminant model based on SHG texture and image features as a classifier to discriminate the tissue groups. We additionally performed mass spectrometry analysis of normal and HGSOC tissues to associate the differential expression of collagen isoforms with collagen fiber morphology alterations. Results: We quantified the differences in the collagen architecture between normal tissue and the precursors with good classification accuracy. Through proteomic analysis, we identified the downregulation of single α-chains including those for Col I and III, where these results are consistent with our previous SHG-based supramolecular analyses. Conclusion: This work provides new insights into ECM remodeling in early ovarian cancer and suggests the combined use of SHG microscopy and mass spectrometry as a new diagnostic/prognostic approach.

scholarly journals Applications of Second-Harmonic Generation Imaging Microscopy in Ovarian and Breast Cancer

2015 ◽  
Vol 7 ◽  
pp. PMC.S13214 ◽  
Author(s):  
Karissa Tilbury ◽  
Paul J. Campagnola
Keyword(s):  
Ovarian Cancer ◽  
Second Harmonic Generation ◽  
Harmonic Generation ◽  
Second Harmonic ◽  
Imaging Techniques ◽  
Great Sensitivity ◽  
Fiber Morphology ◽  
Breast And Ovarian Cancer ◽  
Epithelial Cancers ◽  
Computationally Intensive

In this perspective, we discuss how the nonlinear optical technique of second-harmonic generation (SHG) microscopy has been used to greatly enhance our understanding of the tumor microenvironment (TME) of breast and ovarian cancer. Striking changes in collagen architecture are associated with these epithelial cancers, and SHG can image these changes with great sensitivity and specificity with submicrometer resolution. This information has not historically been exploited by pathologists but has the potential to enhance diagnostic and prognostic capabilities. We summarize the utility of image processing tools that analyze fiber morphology in SHG images of breast and ovarian cancer in human tissues and animal models. We also describe methods that exploit the SHG physical underpinnings that are effective in delineating normal and malignant tissues. First we describe the use of polarization-resolved SHG that yields metrics related to macromolecular and supramolecular structures. The coherence and corresponding phase-matching process of SHG results in emission directionality (forward to backward), which is related to sub-resolution fibrillar assembly. These analyses are more general and more broadly applicable than purely morphology-based analyses; however, they are more computationally intensive. Intravital imaging techniques are also emerging that incorporate all of these quantitative analyses. Now, all these techniques can be coupled with rapidly advancing miniaturization of imaging systems to afford their use in clinical situations including enhancing pathology analysis and also in assisting in real-time surgical determination of tumor margins.

scholarly journals 3D texture analysis for classification of second harmonic generation images of human ovarian cancer

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Bruce Wen ◽  
Kirby R. Campbell ◽  
Karissa Tilbury ◽  
Oleg Nadiarnykh ◽  
Molly A. Brewer ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Second Harmonic Generation ◽  
Texture Analysis ◽  
Harmonic Generation ◽  
Second Harmonic ◽  
Human Ovarian Cancer ◽  
3D Texture ◽  
3D Texture Analysis

scholarly journals Second Harmonic Generation Imaging Microscopy of Ovarian Cancer

2009 ◽  
Vol 96 (3) ◽  
pp. 296a ◽  
Author(s):  
Oleg Nadiarnykh ◽  
Ronald LaComb ◽  
Molly Brewer ◽  
Paul J. Campagnola
Keyword(s):  
Ovarian Cancer ◽  
Second Harmonic Generation ◽  
Harmonic Generation ◽  
Second Harmonic ◽  
Second Harmonic Generation Imaging

Second harmonic generation microscopy as a powerful diagnostic imaging modality for human ovarian cancer

2012 ◽  
Vol 7 (1-2) ◽  
pp. 37-48 ◽  
Author(s):  
Javier Adur ◽  
Vitor B. Pelegati ◽  
Andre A. de Thomaz ◽  
Mariana O. Baratti ◽  
Liliana A. L. A. Andrade ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Diagnostic Imaging ◽  
Second Harmonic Generation ◽  
Harmonic Generation ◽  
Second Harmonic ◽  
Imaging Modality ◽  
Human Ovarian Cancer ◽  
Second Harmonic Generation Microscopy

scholarly journals Texture analysis applied to second harmonic generation image data for ovarian cancer classification

2014 ◽  
Vol 19 (9) ◽  
pp. 096007 ◽  
Author(s):  
Bruce L. Wen ◽  
Molly A. Brewer ◽  
Oleg Nadiarnykh ◽  
James Hocker ◽  
Vikas Singh ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Second Harmonic Generation ◽  
Texture Analysis ◽  
Harmonic Generation ◽  
Second Harmonic ◽  
Image Data ◽  
Cancer Classification
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